Architecting the Internet of Things: State of the Art

Abdmeziem, Mohammed Riyadh; Tandjaoui, Djamel; Romdhani, Imed

doi:10.1007/978-3-319-22168-7_3

Cited by 96 publications

(68 citation statements)

References 24 publications

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“…Authors in [147] presented a good summary of the potentials of applying data mining technologies to the IoT could have to people, the system itself, and other interconnected systems. Authors in [148] [121,142,89,126,93,143,144,145,83,111,127,91,84,99,100,85,134,128]. Following the technology development three of the articles published this…”

Section: Surveys Articles For the Iotmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

131

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In this paper, a comprehensive survey of authentication protocols for Internet of Things (IoT) is presented. Specifically more than forty authentication protocols developed for or applied in the context of the IoT are selected and examined in detail. These protocols are categorized based on the target environment: (1) Machine to Machine Communications (M2M), (2) Internet of Vehicles (IoV), (3) Internet of Energy (IoE), and (4) Internet of Sensors (IoS). Threat models, countermeasures, and formal security verification techniques used in authentication protocols for the IoT are presented. In addition a taxonomy and comparison of authentication protocols that are developed for the IoT in terms of network model, specific security goals, main processes, computation complexity, and communication overhead are provided. Based on the current survey, open issues are identified and future research directions are proposed.

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Section: Surveys Articles For the Iotmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

131

View full text Add to dashboard Cite

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“…In this section, we investigate the performance of IoT-IVWSNs by varying the traffic load and network nodes, since these features play an important role after introducing the IoT concept on IVWSNs in order to address the scalability issue [48,49]. The suitability of the communication parameters is justified in the previous section, as listed in Table 2.…”

Section: Performance Evaluationmentioning

confidence: 99%

A performance investigation on IoT enabled intra-vehicular wireless sensor networks

Rahman¹,

Ali²,

Kabir³

et al. 2017

Int. J. Automot. Mech. Eng.

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The concept of Internet of Things (IoT) can be utilised in vehicles, since the number of sensor nodes in vehicles is rising tremendously because of the uplifting demand of applications for security, safety and convenience. In order to establish the communication among these nodes inside a vehicle, a controller area network with wired architecture provides a prominent solution. However, this solution is not flexible because of the architectural complexity and the demand for a large number of sensors inside the vehicle; hence wired architectures are replaced by wireless ones. Moreover, scalability will be an important issue while introducing the IoT concept in Intra-Vehicular Wireless Sensor Networks (IVWSNs). In this paper, a comprehensive performance investigation on the IoT enabled IVWSNs (IoT-IVWSNs) to be carried out in order to address this issue. The overview of the IoT-IVWSNs with a comparative study of the existing technologies and the design challenges for such network are provided. The link design between an enddevice and the control unit is analysed, and the performance of the network has been investigated and some open research issues are addressed. It reveals that the delay in packet transmission increases due to higher traffic loads and the number of end-devices. This result demonstrates that the existing MAC protocol works well for a small network (i.e., a network with a maximum number of 50 nodes) but is not suitable for a large network (i.e., a network with more than 50 nodes). The outcome of this research helps to design a smart car system.

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“…Request permissions from permissions@acm.org. puting and networking capabilities to form a single overall internet of smart entities (objects) [1].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Clustering for Integrated WSN-RFID Networks

Hamza

Amir

2016

Proceedings of the 10th International Conference on Informatics and Systems

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Emerging practical deployments for the Internet of Things (IoT) trigger a need to integrate and inter-operate a variety of heterogenous networks to realize real business values. Several applications require the integration of wireless sensor networks (WSN), WiFi, and Radio Frequency Identifiers (RFID) into one single network to fulfil business requirements. As most of such deployments are characterized as being large-scale and heterogeneous, special algorithms and techniques are needed in order to deal with data collection, processing, and transmission in such networks. Results reported in the literature confirm that clustering techniques can be very efficient in dealing with routing in large-scale networks. However; due to the heterogeneity of IoT networks, the use of conventional clustering techniques may not result in an efficient clustering. Accordingly, in this paper, we attempt to address this problem by studying the use of evolutionary clustering algorithms in integrated WSN-RFID networks. In particular, the performance of two evolutionary algorithms; namely the Genetic Algorithms (GA) and the Harmony Search (HS), is analyzed and compared. It is shown that, the GA outperforms the HS significantly in the cluster formation process for integrated WSN-RFID networks. CCS Concepts•Networks → Network design and planning algorithms;

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Architecting the Internet of Things: State of the Art

Cited by 96 publications

References 24 publications

Authentication Protocols for Internet of Things: A Comprehensive Survey

Authentication Protocols for Internet of Things: A Comprehensive Survey

A performance investigation on IoT enabled intra-vehicular wireless sensor networks

Evolutionary Clustering for Integrated WSN-RFID Networks

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